AI Incubator - Data Scientist

About the Role

As an AI Incubator Data Scientist at Barclays, you'll be at the forefront of driving innovation and excellence in the digital landscape. Your primary responsibility will be to harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences.

You'll spearhead the evolution of our digital landscape, driving innovation dedicated to driving commercial value from data across the Corporate Bank. This role offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art AI techniques to unlock millions in business value.

Key Responsibilities

• Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI.
• Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank.
• Leverage AWS services for data transformation, feature engineering, AI product development, and deployment.
• Communicate complex technical ideas to stakeholders via data visualization.
• Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Skills & Qualifications

• Bachelor or master's degree in data science (or similar) or equivalent commercial experience.
• Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment.
• Ability to translate technical work into business terms and communicate value to business stakeholders.
• Commercial experience in applying machine learning techniques to generate business value (e.g., clustering, classification, regression, NLP techniques).
• Ability to write close to production standard code with strong understanding of key coding principles (e.g., separation of concerns, generalization of code).
• Strong experience in Python and SQL is a must.
• Familiarity with AWS data science and AI services, including SageMaker and Bedrock.
• Understanding of GenAI, LLMs, and the RAG framework.
• Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools.
• Knowledge of code management methodologies and ability to implement these on projects.

What You'll Learn

In this role, you'll have the opportunity to work with extensive datasets, apply state-of-the-art AI techniques, and unlock millions in business value. You'll also develop strong relationships with senior stakeholders and collaborate with business stakeholders to drive commercial value from data.

You'll gain hands-on experience with cutting-edge technologies, including AWS services, machine learning models, and data visualization tools. This role offers a chance to grow your skills in data science, AI, and machine learning, and apply them to real-world problems.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning techniques, data visualization tools, and AWS services. Emphasize your ability to communicate complex technical ideas to stakeholders and your experience working with senior stakeholders across the data science life cycle.

Also, be sure to include any relevant certifications or training programs you've completed in data science, AI, or machine learning. This will demonstrate your commitment to staying up-to-date with the latest technologies and trends in the field.

Finally, tailor your resume to the specific requirements of the job description. Use keywords from the job description and highlight your relevant skills and experience. This will increase your chances of passing through applicant tracking systems (ATS) and getting noticed by the hiring manager.